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ProTox 3.0: a webserver for the prediction of toxicity of chemicals

📅 April 22, 2024 👤 Priyanka Banerjee, Emanuel Kemmler, Mathias Dunkel et al. 📖 Nucleic Acids Research 📊 1,237 citations

🤖 Plain-English Summary

Interaction with chemicals, present in drugs, food, environments, and consumer goods, is an integral part of our everyday life. The ProTox 3.0 webserver is free and open to all users, and there is no login requirement and can be accessed via https://tox.charite.de.

🔑 Key Findings

  • However, depending on the amount and duration, such interactions can also result in adverse effects.
  • With the increase in computational methods, the in silico methods can offer significant benefits to both regulatory needs and requirements for risk assessments and the pharmaceutical industry to assess the safety profile of a chemical.
  • Here, we present ProTox 3.0, which incorporates molecular similarity and machine-learning models for the prediction of 61 toxicity endpoints such as acute toxicity, organ toxicity, clinical toxicity, molecular-initiating events (MOE), adverse outcomes (Tox21) pathways, several other toxicological endpoints and toxicity off-targets.

💡 Why This Matters

Understanding this could lead to better treatments, improved diagnostics, or a deeper grasp of how the human body works — benefiting patient care globally.

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📋 Article Details

Category 🧬 Medicine & Biology
Published Apr 22, 2024
Journal Nucleic Acids Research
Authors Priyanka Banerjee, Emanuel Kemmler, Mathias Dunkel, Robert Preißner
DOI 10.1093/nar/gkae303
Citations 1,237
Source OpenAlex

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